Training data management
The Centre for Digital Scholarship offers several opportunities for training on data management. Topics included are policies and requirements, sensitive data and GDPR, data sharing and consent, publishing and archiving data, Data Management Plans, FAIR data (Findable, Accessible, Interoperable and Reusable) and Open Science.
Our courses are delivered by members of the data management team. If you want us to organise a course for you or you have any other questions, you can contact us at firstname.lastname@example.org
There is no charge for Leiden University researchers except where specifically indicated.
The LUMC offers employees its own dedicated course on writing a data management plan and uses the LUMC template. Please visit the Leerportaal (internal site) for this course on Data stewardship.
Our course package
Leiden University and most research funders require a data management plan (DMP) before the start of a new research project. The aim of this workshop is to help you write your DMP. We will provide you with guidance and support to help you answer the questions that are commonly addressed in a data management plan: what kind of data will you be collecting, where will you store your data, with whom and how will you share your data, how will others be able to understand the data, and how will you preserve your data for the long term. We reserve time for filling out the university template for a data management plan.
All researchers from Leiden University wishing to write a data management plan. Note there are tailor-made courses for PhD students from some faculties.
Method & content
One session of 2,5 hours with presentations and handouts. Participants will bring their own device to write a first version of a data management plan. Afterwards, participants will receive additional information to help them finalize their own data management plan.
Enrollment & dates
- 25th January 2024, 14.00 - 17.00
- 8th March 2024, 10.00 - 12.30 (online)
- 23rd April 2024, 10.00 - 13.00
- 27th May 2024, 14.00 - 16.30 (online)
- 4th July 2024, 10.00 - 13.00
Venue: Heinsius/Vossius Room (UBL).
If you are an employee of Leiden University, you can register by sending an e-mail to email@example.com with the date of the session you like to attend, your research institute and any specific questions you may have. If the dates mentioned don’t suit you, please let us know.
This Bring Your Own Data pilot workshop is organised by the Centre for Digital Scholarship (CDS) for PhD students to make their data Findable, Accessible, Interoperable and Reusable (FAIR), with focus on the Interoperable and the Reusable aspects. We will first introduce the concept of FAIR data. Secondly, we will go through a tutorial with an example data set together, followed by a hands-on session on how to make the particular datasets from the participants FAIR, and finally end with a discussion about how to share and publish FAIR data.
The workshop targets Data Science PhD students.
How to enroll
The next workshop will be scheduled soon.
If you would like to participate, please send us an email: firstname.lastname@example.org
The benefits and practices of making your research more widely accessible
We often see that institutions and funders do not have requirements for data preservation that extend beyond 10-15 years, but sometimes data prove to be very valuable for longer, or even because those many years have passed. All the more important to choose a publication platform that not only makes the data easy to find, but has a vison towards sustainable access.
In this workshop we discussed the decisions involved in publishing data, we looked at what makes a dataset FAIR, and we helped participants try out a data upload.
You can find the slides of this workshop in Zenodo.
For more information, please send us an email message: email@example.com
Participants learn to manage their own data according to standard procedures and best practices common in their field of research. They write a data management plan (DMP), that conforms to university regulations, in which they describe the principles behind their methods for data management. During the last session, participants present their DMP to the group. This provides an opportunity to exchange best practices and receive feedback from the trainers.
These tailormade courses on data management are for new PhD students from:
Staff or PhD students from institutes not listed above and interested in a tailor-made course are advised to contact us or their graduate school. The course can be registered as part of the recommended transferable skills training for PhD students (0,5 ects).
Method & content
Two or three sessions of 2 to 4 hours with presentations and hands-on exercises. Participants need to bring their own device.
Enrollment & dates
The organising institute takes care of planning, selection and invitation of participants. They will inform participants of dates and location.
The training is delivered by members of the CDS data management team and a senior researcher from the organising institute.